Weak Labeling-specific Emitter Identification Algorithm Based on the Weakly Supervised Wav-KAN Network by Kangsheng LIU, Qing LING, Wenjun YAN, Limin ZHANG, Keyuan YU, Hengyan LIU

“…., weather conditions, terrain, obstacles, and interference sources), device performance (e.g., radar resolution, signal processing capabilities, and hardware failures), and tagger level. …”
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TCGCL: Complex Network Traffic Classification Algorithm Based on Graph Contrastive Learning by HU Zhongze, QIN Hongchao, LI Zhenjun, LI Yanhui, LI Ronghua, WANG Guoren

“…In addition, based on protocol analysis techniques, this paper studies the construction of graph structured data in the process of traffic classification and proposes a high-quality and low dimensional attribute generation method. …”
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Rolling bearing fault diagnosis under small sample conditions based on WDCNN-BiLSTM Siamese network by Chenxu Bian, Chunni Jia, Jibo Li, Xiangjun Chen, Pei Wang

“…Furthermore, the model also shows robustness against severe noise interference, making it a viable tool for efficient fault diagnosis in rolling bearings with limited data.…”
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Laser Induced Fluorescence for In Situ Detection of Typical Heavy Metals in Groundwater by Kang MAO, Jiaqi XUE, Zhuo CHEN, Hua ZHANG

“…These synthesized probes and the corresponding constructed sensors indicate that LIF holds significant advantages in heavy metal detection in groundwater. …”
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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

“…This paper addresses the issue of noise interference and variable working conditions in the production and machining environment, which lead to weak tool life features and reduced prediction accuracy. …”
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A lightweight multi scale fusion network for IGBT ultrasonic tomography image segmentation by Meng Song, Zhaoba Wang, Youxing Chen, Ya Li, Yong Jin, Bei Jia

“…However, the precise semantic segmentation of IGBT ultrasonic tomographic images poses several challenges, primarily due to high-density noise interference and visual distortion caused by target warping. …”
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A Relative Attitude Detection Method for Unmanned Aerial Vehicles Based on You Only Look Once Framework by Jingting Qiu, Feifan Yu, Fengrui Xu, Xinmin Chen, Jiqiang Wang

“…To tackle these challenges, we first constructed a dataset on UAV landing markers called the UAV landing marker dataset (ULMD). …”
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Nanocomposite Hydrogel for Real‐Time Wound Status Monitoring and Comprehensive Treatment by Huan Lei, Xueqing Yu, Daidi Fan

“…Tannins and siRNA containing matrix metalloproteinase‐9 gene siRNA interference are self‐assembled to construct a degradable nanogel and modified with bovine serum albumin. …”
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SKGRec: A Semantic-Enhanced Knowledge Graph Fusion Recommendation Algorithm with Multi-Hop Reasoning and User Behavior Modeling by Siqi Xu, Ziqian Yang, Jing Xu, Ping Feng

“…This study provides a new optimization approach for knowledge graph and semantic-driven recommendation systems, enabling more accurate capture of user preferences and alleviating the problem of noise interference.…”
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Temporal evolution of fibroblast responses following salivary gland ductal ligation injury by Joey R. Tavarez, Joey R. Tavarez, James Kenney, Sergo Gabunia, Deirdre A. Nelson, Melinda Larsen, Melinda Larsen

“…To define the temporal responses of fibroblasts to injury, we induced a temporary obstructive injury though ligation of the primary submandibular and sublingual salivary gland ducts and then performed single-cell RNA sequencing and pathway analysis at timepoints immediately following the injury. …”
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Question-answering enhancement method for large educational models based on re-ranking and post-retrieval reflection by SUN Haoran, WANG Zhihao, WU Yifan, GAO Xiaoying, XIANG Yang

“…However, the traditional RAG techniques lack a fine screening mechanism for the retrieved information, which leads to the retention of a large amount of low-correlation knowledge, and the interference of irrelevant information makes the model hallucination problem not effectively solved. …”
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Experience of Virtual Help in a Simulated BCI Stroke Rehabilitation Serious Game and How to Measure It by Bastian Ilsø Hougaard, Hendrik Knoche, Mathias Sand Kristensen, Mads Jochumsen

“…Future studies should validate or control for the constructs of perceived help quantity and appeal.…”
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Small object detection in side-scan sonar images based on SOCA-YOLO and image restoration by Xiaodong Cui, Jiale Zhang, Lingling Zhang, Qunfei Zhang, Jing Han

“…The SOCA-YOLO framework first constructs a high-resolution SSS (sidescan sonar image) enhancement pipeline through image restoration techniques to extract fine-grained features of micro-scale targets. …”
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Artificial MiRNA Knockdown of Platelet Glycoprotein lbα: A Tool for Platelet Gene Silencing. by Tim Thijs, Katleen Broos, Stefaan J Soenen, Aline Vandenbulcke, Karen Vanhoorelbeke, Hans Deckmyn, Isabelle I Salles-Crawley

“…To elucidate their exact role, we aimed to develop a method to apply miRNA interference in platelet progenitor cells by using GPIbα as a proof-of-concept target protein. …”
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YOLO-HVS: Infrared Small Target Detection Inspired by the Human Visual System by Xiaoge Wang, Yunlong Sheng, Qun Hao, Haiyuan Hou, Suzhen Nie

“…To address challenges of background interference and limited multi-scale feature extraction in infrared small target detection, this paper proposes a YOLO-HVS detection algorithm inspired by the human visual system. …”
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Image Matching Algorithm for Transmission Towers Based on CLAHE and Improved RANSAC by Ruihua Chen, Pan Yao, Shuo Wang, Chuanlong Lyu, Yuge Xu

“…First, the improved AKAZE enhances image contrast using Contrast-Limited Adaptive Histogram Equalization (CLAHE), which highlights target features and improves robustness against environmental interference. Subsequently, the original AKAZE algorithm is employed to detect feature points and construct binary descriptors. …”
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Coding and non-coding RNA expression in NSC34 cells following TDP-43 depletion and mutant TDP-43 M337V expression by Ismail Gbadamosi, Sandra Binias, Bartłomiej Gielniewski, Ramiro Magno, Isabel Duarte, Ali Jawaid

“…Additionally, the inclusion of non-coding RNAs facilitates the construction of gene regulatory networks, providing insights into the interplay between coding and non-coding RNAs in gene expression regulation under TDP-43 loss-of-function or pathogenic mutation conditions.…”
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AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. To address these challenges, this paper proposes AC-YOLO, a novel lightweight SAR ship detection model based on YOLO11. …”
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Deep learning-enhanced signal detection for communication systems. by Yang Liu, Peng Liu, Yu Shi, Xue Hao

“…Based on this, the study innovatively combines Multiple Input Multiple Output (MIMO) with orthogonal frequency division multiplexing technology to construct a data-driven detection system. The system adopts a Multi-DNN method with a dual-DNN cascade structure and mixed activation function design to optimize the channel estimation and signal detection coordination process of the MIMO part. …”
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Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways by Bo Gu, Jianfeng Feng, Zhuoyi Song

“…Detecting looming signals for collision avoidance encounters challenges in real‐world scenarios, where moving backgrounds can interfere as an agent navigates through complex natural environments. …”
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